...
首页> 外文期刊>ACM transactions on sensor networks >Efficient Multichannel Communications in Wireless Sensor Networks
【24h】

Efficient Multichannel Communications in Wireless Sensor Networks

机译:无线传感器网络中的高效多通道通信

获取原文
获取原文并翻译 | 示例
           

摘要

This article demonstrates how to use multiple channels to improve communication performance in Wireless Sensor Networks (WSNs). We first investigate multichannel realities in WSNs through intensive empirical experiments with Micaz motes. Our study shows that current multichannel protocols are not suitable for WSNs because of the small number of available channels and unavoidable time errors found in real networks. With these observations, we propose a novel tree-based, multichannel scheme for data collection applications, which allocates channels to disjoint trees and exploits parallel transmissions among trees. In order to minimize interference within trees, we define a new channel assignment problem that is proven NP-complete. Then, we propose a greedy channel allocation algorithm that outperforms other schemes in dense networks with a small number of channels. We implement our protocol, called the Tree-based, Multichannel Protocol (TMCP), in a real testbed. To adjust to networks with link quality heterogeneity, an extension of TMCP is also proposed. Through both simulation and real experiments, we show that TMCP can significantly improve network throughput and reduce packet losses. More important, evaluation results show that TMCP better accommodates multichannel realities found in WSNs than other multichannel protocols.
机译:本文演示了如何使用多个通道来提高无线传感器网络(WSN)中的通信性能。我们首先通过对Micaz微粒进行深入的经验实验来研究WSN中的多渠道现实。我们的研究表明,当前的多信道协议不适合WSN,因为可用信道数量很少,并且在实际网络中不可避免地会出现时间错误。有了这些观察,我们为数据收集应用提出了一种新颖的基于树的多通道方案,该方案将通道分配给不相交的树并利用树之间的并行传输。为了使树内干扰最小化,我们定义了一个新的信道分配问题,该问题已被证明是NP完全的。然后,我们提出了一种贪婪的信道分配算法,该算法在具有少量信道的密集网络中优于其他方案。我们在真实的测试平台中实施称为树型多通道协议(TMCP)的协议。为了适应具有链路质量异构性的网络,还提出了TMCP的扩展。通过仿真和实际实验,我们表明TMCP可以显着提高网络吞吐量并减少数据包丢失。更重要的是,评估结果表明,TMCP比其他多通道协议更能适应WSN中发现的多通道现实。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号